The fourth industrial revolution brought on by interconnectivity and automation is being accelerated by AI technologies. These advances have been naturally breaking into traditional bridge engineering domains. Bridge engineers are beginning to face, understand, and deal with—and most importantly take advantage of—these new technologies, such as BIM, digital twins, machine/deep learning, big data analytics, data-driven modelling, blockchains, metaverse, etc. As a result, new concepts within the smart infrastructure domain have been emerging and rapidly developing. This special collection is intended for documenting the recent advances that specifically pertain to smart bridges. The specific topics include but not limited to:
- Data-driven modeling bridge performance under service and extreme loads
- Optimization-based smart bridge design
- Manufacturing and design of smart bridge components
- Point cloud and computer vision-based techniques for quality control
- BIM-based virtual bridge pre-installation
- Smart monitoring of bridge construction
- Smart decision making for bridge maintenance
- Novel sensing technologies
- Self-healing and other advanced/smart material applications
- Adaptive bridges
- Accelerated Bridge Construction 3D/4D printing with embedded smartness
- Digital twin-based concepts for life-cycle cost-benefit analysis of bridges
- Digital twin-based health and performance monitoring
Special Issue Editors
Prof. Dr. Steve C.S. Cai
Department of Civil and Environmental Engineering
3230D Patrick F. Taylor Hall
Louisiana State University
Baton Rouge, LA 70803, USA
Email: cscai@lsu.edu
Prof. Dr. Ertugrul Taciroglu
Civil and Environmental Engineering
UCLA Samueli School Of Engineering
Los Angeles, CA 90095, USA
Email: etacir@ucla.edu
Prof. Dr. Yail Jimmy Kim
Department of Civil Engineering
University of Colorado Denver, Denver, CO 80217, USA
Email: jimmy.kim@ucdenver.edu
Prof. Dr. Wen Xiong
Department of Bridge Engineering
Southeast University
Nanjing, China
Email: wxiong@seu.edu.cn